This course will prepare you to work in the rapidly changing field of computing. You will acquire a strong grounding in the theory of computing science, as well as gaining experience and skills in software engineering and problem solving. You will become a competent programmer in a range of modern general purpose languages such as Java, Python, C and C++. You’ll explore the underlying principles of the subject and learn to adopt a logical, systematic approach to developing solutions to real-world problems. You’ll also benefit from our particular expertise in artificial intelligence (AI), machine learning, computer vision, graphics, computational biology, data science and speech processing, as well as software engineering and systems engineering.   

The nature of the subject means students have a wide range of backgrounds in programming, and mathematics. Whatever your experience, the course is flexible enough to ensure you’ll achieve the level of understanding at the end of year 1 that you need to master the material on the rest of the course. 

In core modules you will cultivate the essential skills of a computing professional, while in optional modules you’ll be able to sample some of the wide range of problems that arise in both research and industry. You will also gain transferable skills that will help your long-term development, such as working in teams, project management and presenting ideas. 

AFTER THE COURSE

As a professional in this rapidly evolving sector, the ability to learn new skills is as important as what you know already. After successfully completing your degree you will have the knowledge to forge an exciting career, continually learning and extending yourself. 

You could go on to work as a software engineer, web or app developer, programmer, systems analyst, data scientist, artificial intelligence developer, academic/industrial researcher, entrepreneur, teacher or even researcher. 

CAREER DESTINATIONS

Examples of careers that you could enter include; 

• Software engineer 

• Web or app developer 

• Programmer 

• Systems analyst 

• Data scientist 

• IT consultant / specialist 

• Network Engineer 

• Academic/industrial researcher 

• Artificial intelligence developer